DeepAgents is an agent harness from the LangChain ecosystem, equipped with planning tools, a filesystem backend, and subagent spawning for handling complex multi-step tasks.
License
MIT
Stars
21,437
Features
- Deep LangChain/LangGraph integration
- Built-in planning utilities
- Subagent spawning and collaboration
- Filesystem-backed execution
- Designed for complex task chains
- Open source for customization
Use Cases
- Prototyping complex agent workflows
- Developing multi-agent collaboration
- RAG and tool-calling experiments
- Extending coding-agent capabilities
- Building automated research pipelines
- Enterprise agent proof-of-concept work
FAQ
DeepAgents is an agent harness from the LangChain ecosystem, equipped with planning tools, a filesystem backend, and subagent spawning for handling complex multi-step tasks. Core capabilities include: Deep LangChain/LangGraph integration, Built-in planning utilities, Subagent spawning and collaboration.
Common scenarios include: Prototyping complex agent workflows, Developing multi-agent collaboration, RAG and tool-calling experiments.